Within global health and development, dissatisfaction with nongovernmental organisations\' effectiveness (NGOs) is an increasingly pervasive aspect of programming. Today, the international community no longer accepts that NGOs are doing what they claim. This change in expectations has emphasised the importance of measuring organisational effectiveness for improved health and development impact. Using New Institutionalism as a theoretical framework, we investigated how institutional norms and expectations influence the adoption of structures and processes by NGOs, and Early Childhood Development (ECD) programming effectiveness in Rwanda - since little research connects these concepts. We employed qualitative methods: 45 in-depth interviews and 6 focus group discussions. Findings revealed a misalignment of \'organizational effectiveness\' across scales, from global to local. Findings stress that, effectiveness, though an expectation of the institutional environment, may not be a valid construct for NGOs, generating implications for ECD programming. Findings also indicate measurement of global health interventions generally and the notion of effectiveness specifically can yield adverse implications for ECD programming. These findings are relevant for researchers and practitioners trying to better understand organisational effectiveness for ECD programmes because they suggest that effectiveness is socially constructed and measured differently across the different scales.

The double burden of malnutrition (DBM) is escalating in low- and middle-income countries (LMICs), including in Rwanda, most notably in urbanizing areas. The 2019-2020 Rwanda Demographic Health Survey (DHS) revealed that 33% of children under 5 years old are stunted while 42% of women in urban areas are overweight or obese. This coexistence has contributed to a surge in non-communicable diseases (NCDs), particularly in secondary cities. Using the World Health Organization\'s (WHOs) \"double-duty action\" (DDA) concept, this study aims to identify and evaluate interventions with double-duty potential in Rwanda\'s Rusizi and Rubavu districts and generate key recommendations for their improvement. A desk review of national policies pinpointed four programs with the greatest DDA potential: early childhood development (ECD) centers, the school feeding program, farmer field schools (FFS), and the provision of nutrition-sensitive direct support. In-person interviews with key stakeholders assessed the implementation of each program and a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis was used to generate context-specific recommendations for their improvement. The main finding of this research is that Rwanda\'s potential to address the DBM can be improved across multiple sectors by implementing a few key changes: targeting beliefs surrounding nutrition, improving trainings for community educators, enhancing parent-particularly father-involvement, and engaging in close monitoring and follow-up. These findings offer actionable streps that governments and nutrition stakeholders can take to improve similar interventions in other rapidly urbanizing LMICs.

BACKGROUND: In Rwanda, the prevalence of childhood stunting has slightly decreased over the past five years, from 38% in 2015 to about 33% in 2020. It is evident whether Rwanda\'s multi-sectorial approach to reducing child stunting is consistent with the available scientific knowledge. The study was to examine the benefits of national nutrition programs on stunting reduction under two years in Rwanda using machine learning classifiers.
METHODS: Data from the Rwanda DHS 2015-2020, MEIS and LODA household survey were used. By evaluating the best method for predicting the stunting reduction status of children under two years old, the five machine learning algorithms were modelled: Support Vector Machine, Logistic Regression, K-Near Neighbor, Random Forest, and Decision Tree. The study estimated the hazard ratio for the Cox Proportional Hazard Model and drew the Kaplan-Meier curve to compare the survivor risk of being stunted between program beneficiaries and non-beneficiaries. Logistic regression was used to identify the nutrition programs related to stunting reduction. Precision, recall, F1 score, accuracy, and Area under the Curve (AUC) are the metrics that were used to evaluate each classifier\'s performance to find the best one.
RESULTS: Based on the provided data, the study revealed that the early childhood development (ECD) program (p-value = 0.041), nutrition sensitive direct support (NSDS) program (p-value = 0.03), ubudehe category (p-value = 0.000), toilet facility (p-value = 0.000), antenatal care (ANC) 4 visits (p-value = 0.002), fortified blended food (FBF) program (p-value = 0.038) and vaccination (p-value = 0.04) were found to be significant predictors of stunting reduction among under two children in Rwanda. Additionally, beneficiaries of early childhood development (p  < .0001), nutrition sensitive direct support (p = 0.0055), antenatal care (p = 0.0343), Fortified Blended Food (p = 0.0136) and vaccination (p = 0.0355) had a lower risk of stunting than non-beneficiaries. Finally, Random Forest performed better than other classifiers, with precision scores of 83.7%, recall scores of 90.7%, F1 scores of 87.1%, accuracy scores of 83.9%, and AUC scores of 82.4%.
CONCLUSIONS: The early childhood development (ECD) program, receiving the nutrition sensitive direct support (NSDS) program, focusing on households with the lowest wealth quintile (ubudehe category), sanitation facilities, visiting health care providers four times, receiving fortified blended food (FBF), and receiving all necessary vaccines are what determine the stunting reduction under two among the 17 districts of Rwanda. Finally, when compared to other models, Random Forest was shown to be the best machine learning (ML) classifier. Random forest is the best classifier for predicting the stunting reduction status of children under two years old.

More than one million neonatal deaths occur every year worldwide, of which 99% take place in low-income countries. In Rwanda, nearly 71% of neonatal deaths are preventable and among these, 10% are due to neonatal sepsis. Nevertheless, limited information exists on neonatal sepsis and its associated factors in Rwanda. The objectives of the study were to find prevalence and factors associated with neonatal sepsis among neonates admitted in Kibungo Referral Hospital, Ngoma District, Rwanda. We used a retrospective cross-sectional study design reviewing a subset of neonatal, maternal and laboratory records from Kibungo Hospital in 2017. Data were reviewed and collected from March to May, 2018. Logistic regression and odds ratios were calculated to identify the factors associated with neonatal sepsis at 95% CI, p < 0.05. Of the 972 total neonates\' medical records from 2017, we randomly selected 422 of which 12.8% (n = 54) had neonatal sepsis. When blood cultures were positive, 62% grew Klebsiella pneumoniae. Among neonates with sepsis, 38 (70%) recovered while 16 (30%) died. Neonatal sepsis was strongly associated with neonatal age less than or equal to three days (aOR: 2.769, 95% CI 1.312-5.843; p = 0.008); and gestational age less than 37 weeks (aOR: 4.149; CI 1.1878-9.167; p ≤ 0.001). Increased use of blood cultures including sensitivity testing, routine surface cultures of the neonatology and maternity wards facilities, and systematic ward cleaning are all important approaches to prevent and treat neonatal infections in additional to regular neonatal sepsis evaluations.

Thermophilization is the directional change in species community composition towards greater relative abundances of species associated with warmer environments. This process is well-documented in temperate and Neotropical plant communities, but it is uncertain whether this phenomenon occurs elsewhere in the tropics. Here we extend the search for thermophilization to equatorial Africa, where lower tree diversity compared to other tropical forest regions and different biogeographic history could affect community responses to climate change. Using re-census data from 17 forest plots in three mountain regions of Africa, we find a consistent pattern of thermophilization in tree communities. Mean rates of thermophilization were +0.0086 °C·y-1 in the Kigezi Highlands (Uganda), +0.0032 °C·y-1 in the Virunga Mountains (Rwanda-Uganda-Democratic Republic of the Congo) and +0.0023 °C·y-1 in the Udzungwa Mountains (Tanzania). Distinct from other forests, both recruitment and mortality were important drivers of thermophilzation in the African plots. The forests studied currently act as a carbon sink, but the consequences of further thermophilization are unclear.

BACKGROUND: There are significant gaps in research output and authorship in low- and middle-income countries. Research dissemination events have the potential to help bridge this gap through knowledge transfer, institutional collaboration, and stakeholder engagement. These events may also have an impact on both clinical service delivery and policy development. King Faisal Hospital Rwanda (KFH) is a tertiary-level teaching hospital located in Kigali, Rwanda. To strengthen its research dissemination, KFH conducted an inaugural Research Day (RD) to disseminate its research activities, recognize staff and student researchers at KFH, define a research agenda for the hospital, and promote a culture of research both at KFH and in Rwanda.
METHODS: RD was coordinated by an interdisciplinary committee of clinical and non-clinical staff at KFH. Researchers were encouraged to disseminate their research across all disciplines. Abstracts were blind reviewed using a weighted rubric and ranked by overall score. Top researchers were also awarded and recognized for their work, and equity and inclusion was at the forefront of RD programming.
RESULTS: RD had over 100 attendees from KFH and other public, private, and academic institutions. Forty-seven abstracts were submitted from the call for abstracts, with the highest proportion studying cancer (17.02%) and sexual and reproductive health (10.64%). Thirty-seven researchers submitted abstracts, and most of the principal investigators were medical doctors (35.14%), allied health professionals (27.03%), and nurses and midwives (16.22%). Furthermore, 30% of principal investigators were female, with the highest proportion of them being nurses and midwives (36.36%).
CONCLUSIONS: RD is an effective way to disseminate research in a hospital setting. RD has the potential to strengthen the institution\'s research agenda, engage the community in ongoing projects, and provide content-area support to researchers. Equity and inclusion should be at the forefront of research dissemination, including gender equity, authorship representation, and the inclusion of interdisciplinary health professionals. Stakeholder engagement can also be utilized to strengthen institutional research collaboration for greater impact.

BACKGROUND: A drug recall is an act of removing products from the market and/or returning them to the manufacturer for disposal or correction when they violate safety laws. Action can be initiated by the manufacturing company or by the order of a regulatory body. This study aimed to assess the characteristics of Rwanda FDA drug recall and determine the association between classes of recall and recall characteristics.
METHODS: This was a retrospective descriptive cross-sectional study. Data about recalled drugs were collected from the official website of the Rwanda FDA in the section assigned to \"Safety alerts\". The search included data reported between February 2019 and February 2023 covering four years. Data cleaning was conducted in Microsoft Excel to address missing data and inconsistencies, followed by importation into STATA/SE software version 17.0 for further cleaning and subsequent analysis. Descriptive statistics were computed for independent variables. Categorical variables were described in terms of counts and relative frequencies. Bivariate analyses used Pearson\'s chi-square test to illustrate the associations between categorical independent variables and recall classes.
RESULTS: The study revealed that a large proportion (33.0%) of the recalled products belonged to Class I. Antibiotics constituted 35.8% of the recalled products, with contamination emerging as a leading cause and responsible for 26.4% of the recalls. India was the leading manufacturing country for the recalled products (29.2%), followed by France (17.9%), China (17.0%), Kenya (13.2%), and Russia (6.6%). An association was found between the class of recall and several recall characteristics, including the year of recall, drug category, safety issues, reporter, and manufacturing country.
CONCLUSIONS: This study provides a comprehensive overview of the characteristics of drug recalls in Rwanda. The insights gained contribute to a nuanced understanding of recall dynamics and provide evidence-based strategies to enhance drug quality, safety, efficacy, regulatory compliance, and patient welfare.

UNASSIGNED: The coronavirus disease 2019 (COVID-19) pandemic led to disruptions of health service delivery in many countries; some were more resilient in either limiting or rapidly responding to the disruption than others. We used mixed methods implementation research to understand factors and strategies associated with resiliency in Rwanda and Bangladesh, focussing on how evidence-based interventions targeting amenable under-five mortality that had been used during the Millennium Development Goal (MDG) period (2000-15) were maintained during the early period of COVID-19.
UNASSIGNED: We triangulated data from three sources - a desk review of available documents, existing quantitative data on evidence-based intervention coverage, and key informant interviews - to perform a comparative analysis using multiple case studies methodology, comparing contextual factors (barriers or facilitators), implementation strategies (existing from 2000-15, new, or adapted), and implementation outcomes across the two countries. We also analysed which health system resiliency capabilities were present in the two countries.
UNASSIGNED: Both countries experienced many of the same facilitators for resiliency of evidence-based interventions for children under five, as well as new, pandemic-specific barriers during the early COVID-19 period (March to December 2020) that required targeted implementation strategies in response. Common facilitators included leadership and governance and a culture of accountability, while common barriers included movement restrictions, workload, and staff shortages. We saw a continuity of implementation strategies that had been associated with success in care delivery during the MDG period, including data use for monitoring and decision-making, as well as building on community health worker programmes for community-based health care delivery. New or adapted strategies used in responding to new barriers included the expanded use of digital platforms. We found implementation outcomes and strong resilience capabilities, including awareness and adaptiveness, which were related to pre-existing facilitators and implementation strategies (continued and new).
UNASSIGNED: The strategies and contextual factors Rwanda and Bangladesh leveraged to build \'everyday resilience\' before COVID-19, i.e. during the MDG period, likely supported the maintained delivery of the evidence-based interventions targeting under-five mortality during the early stages of the pandemic. Expanding our understanding of pre-existing factors and strategies that contributed to resilience before and during the pandemic is important to support other countries\' efforts to incorporate \'everyday resilience\' into their health systems.

UNASSIGNED: Good oral health knowledge is considered to be crucial for health-related practices and better oral hygiene.
UNASSIGNED: This study was aimed to assess knowledge, attitudes and practices towards oral health among secondary student in Huye district.
UNASSIGNED: A cross-sectional survey was conducted with 386 students from public secondary schools with advanced level. Boarding secondary schools were excluded. Stratified Clustering sampling technique was used for selecting study participants. A closed ended questionnaire was used for collecting data. Results were found on the basis of percentage and frequency using SPSS 21.0 version.
UNASSIGNED: The majority of participants, 222 (57.5%) were female and 164 (42.5%) were male. The majority of the participants, 168 (43.5%) were between 15-17 years old. Out of the total population of students 1.8% had good knowledge, 56.2% had average knowledge and 42% had poor knowledge about oral health. Moreover, 56.2% had negative and 43.8% had positive oral health attitudes and overall practice towards oral hygiene of students showed that 74.6 % had poor practice and 24.4% had good practices.
UNASSIGNED: Oral hygiene has to be long life practice and oral health education have to be included as part of the school environment.

BACKGROUND: Electronic health records (EHRs) play an increasingly important role in delivering HIV care in low- and middle-income countries. The data collected are used for direct clinical care, quality improvement, program monitoring, public health interventions, and research. Despite widespread EHR use for HIV care in African countries, challenges remain, especially in collecting high-quality data.
OBJECTIVE: We aimed to assess data completeness, accuracy, and timeliness compared to paper-based records, and factors influencing data quality in a large-scale EHR deployment in Rwanda.
METHODS: We randomly selected 50 health facilities (HFs) using OpenMRS, an EHR system that supports HIV care in Rwanda, and performed a data quality evaluation. All HFs were part of a larger randomized controlled trial, with 25 HFs receiving an enhanced EHR with clinical decision support systems. Trained data collectors visited the 50 HFs to collect 28 variables from the paper charts and the EHR system using the Open Data Kit app. We measured data completeness, timeliness, and the degree of matching of the data in paper and EHR records, and calculated concordance scores. Factors potentially affecting data quality were drawn from a previous survey of users in the 50 HFs.
RESULTS: We randomly selected 3467 patient records, reviewing both paper and EHR copies (194,152 total data items). Data completeness was >85% threshold for all data elements except viral load (VL) results, second-line, and third-line drug regimens. Matching scores for data values were close to or >85% threshold, except for dates, particularly for drug pickups and VL. The mean data concordance was 10.2 (SD 1.28) for 15 (68%) variables. HF and user factors (eg, years of EHR use, technology experience, EHR availability and uptime, and intervention status) were tested for correlation with data quality measures. EHR system availability and uptime was positively correlated with concordance, whereas users\' experience with technology was negatively correlated with concordance. The alerts for missing VL results implemented at 11 intervention HFs showed clear evidence of improving timeliness and completeness of initially low matching of VL results in the EHRs and paper records (11.9%-26.7%; P<.001). Similar effects were seen on the completeness of the recording of medication pickups (18.7%-32.6%; P<.001).
CONCLUSIONS: The EHR records in the 50 HFs generally had high levels of completeness except for VL results. Matching results were close to or >85% threshold for nondate variables. Higher EHR stability and uptime, and alerts for entering VL both strongly improved data quality. Most data were considered fit for purpose, but more regular data quality assessments, training, and technical improvements in EHR forms, data reports, and alerts are recommended. The application of quality improvement techniques described in this study should benefit a wide range of HFs and data uses for clinical care, public health, and disease surveillance.